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Enterprises That Stopped IT Cloud Migrations Had 2.5x Outages During Global Pandemic

Scott Leatherman
Virtana

Enterprises that halted their cloud migration journey during the current global pandemic are two and a half times more likely than those that continued their move to the cloud to have experienced IT outages that negatively impacted their SLAs, according to Virtana's latest survey report The Current State of Hybrid Cloud and IT.

The survey of IT infrastructure decision-makers across the US and UK also showed enterprises that continued their migration saw significantly less missed outages, less impacted access to support services, and less visibility and performance issues.

The survey found that more than half of businesses (52%) said the new economic climate has exposed a lack of access to the correct IT tools to run efficiently, while 47% said it has highlighted a lack of visibility into their IT systems overall, and more than a third (34%) said the pandemic has contributed to missed outages in key IT performance.

"In 2020, our world is changing dramatically, and IT's role in providing critical business and communication services has become paramount," said Dennis Drogseth, VP with Enterprise Management Associates (EMA). "But to step up to the accelerating requirements for IT efficiency and dynamic service delivery, IT must itself begin to change by finding more proactive and more unified ways of working."

The report highlights how the global COVID-19 pandemic has changed IT operations and the impact remote-working practices have had on businesses. More than 75% of respondents said that machine learning (ML) and artificial intelligence for IT operations (AIOps) will be key to supporting their remote working practices. The current environment requires a transformative approach to IT and IT-to-business interaction, and the move to hybrid cloud is a central part of that equation.

"IT leaders across the globe are facing a unique challenge right now. The global pandemic has resulted in a monumental increase in IT workloads and has forced IT decision-makers to make changes to their operations overnight. It has arguably accelerated the need for digital transformation," said Ron Sege, CEO, Virtana.

Other key findings from the research:

■ Respondents who halted their migration to the cloud are 2x as likely to over-provision to ensure performance as those who continued migrating.

■ Two-thirds of respondents who experienced performance issues also cite lack of visibility.

■ The vast majority of respondents (79% ) who experienced performance issues also lack sufficient access to tools.

"What's striking is the stark differences being reported by businesses which continued on their journey to the cloud, and those that haven't. More than 30% of IT professionals stopped their company's cloud migration process, and those that did were twice as likely to over-provision to ensure performance. But this had little impact, as almost two-thirds of those who over-provisioned reported having KPI-busting outages — twice that of those who didn't halt their cloud migrations. The report shows there are clear lessons to be learned in the running of IT operations in today's climate. Businesses need to utilize advanced IT analytics and automation techniques, such AIOps, to enable and embrace hybrid cloud and IT transformation overall," added Sege.

Scott Leatherman is CMO of Virtana

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Enterprises That Stopped IT Cloud Migrations Had 2.5x Outages During Global Pandemic

Scott Leatherman
Virtana

Enterprises that halted their cloud migration journey during the current global pandemic are two and a half times more likely than those that continued their move to the cloud to have experienced IT outages that negatively impacted their SLAs, according to Virtana's latest survey report The Current State of Hybrid Cloud and IT.

The survey of IT infrastructure decision-makers across the US and UK also showed enterprises that continued their migration saw significantly less missed outages, less impacted access to support services, and less visibility and performance issues.

The survey found that more than half of businesses (52%) said the new economic climate has exposed a lack of access to the correct IT tools to run efficiently, while 47% said it has highlighted a lack of visibility into their IT systems overall, and more than a third (34%) said the pandemic has contributed to missed outages in key IT performance.

"In 2020, our world is changing dramatically, and IT's role in providing critical business and communication services has become paramount," said Dennis Drogseth, VP with Enterprise Management Associates (EMA). "But to step up to the accelerating requirements for IT efficiency and dynamic service delivery, IT must itself begin to change by finding more proactive and more unified ways of working."

The report highlights how the global COVID-19 pandemic has changed IT operations and the impact remote-working practices have had on businesses. More than 75% of respondents said that machine learning (ML) and artificial intelligence for IT operations (AIOps) will be key to supporting their remote working practices. The current environment requires a transformative approach to IT and IT-to-business interaction, and the move to hybrid cloud is a central part of that equation.

"IT leaders across the globe are facing a unique challenge right now. The global pandemic has resulted in a monumental increase in IT workloads and has forced IT decision-makers to make changes to their operations overnight. It has arguably accelerated the need for digital transformation," said Ron Sege, CEO, Virtana.

Other key findings from the research:

■ Respondents who halted their migration to the cloud are 2x as likely to over-provision to ensure performance as those who continued migrating.

■ Two-thirds of respondents who experienced performance issues also cite lack of visibility.

■ The vast majority of respondents (79% ) who experienced performance issues also lack sufficient access to tools.

"What's striking is the stark differences being reported by businesses which continued on their journey to the cloud, and those that haven't. More than 30% of IT professionals stopped their company's cloud migration process, and those that did were twice as likely to over-provision to ensure performance. But this had little impact, as almost two-thirds of those who over-provisioned reported having KPI-busting outages — twice that of those who didn't halt their cloud migrations. The report shows there are clear lessons to be learned in the running of IT operations in today's climate. Businesses need to utilize advanced IT analytics and automation techniques, such AIOps, to enable and embrace hybrid cloud and IT transformation overall," added Sege.

Scott Leatherman is CMO of Virtana

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...